Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Poorgramer-Zack/dart-expert-skills --skill serverpodgit clone --depth 1 https://github.com/Poorgramer-Zack/dart-expert-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/poorgramer-zack/dart-expert-skills/serverpod)<a href="https://agentmods.dev/skills/poorgramer-zack/dart-expert-skills/serverpod"><img src="https://agentmods.dev/badge/skills/poorgramer-zack/dart-expert-skills/serverpod/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/poorgramer-zack/dart-expert-skills/serverpod"><img src="https://agentmods.dev/badge/skills/poorgramer-zack/dart-expert-skills/serverpod.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00076 | $0.00760 |
| Opus 5 | $0.00038 | $0.00380 |
| Sonnet 5 | $0.00015 | $0.00152 |
| Haiku 4.5 | $0.00008 | $0.00076 |
Grade A, and why
developing-serverpod-backend scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Serverpod Architecture & Development Guide
Overview
Serverpod splits projects into three modules: server, client, and shared. Models defined in .spy.yaml files generate type-safe Dart classes and database migrations via serverpod generate.
Process
High-Level Workflow
Phase 1: Research & Modeling
1.1 Understand Project Structure
Serverpod separates code into server, client, and shared modules. Endpoint logic lives in server; generated client code goes into client.
1.2 Define Data Models
Define database models using .spy.yaml files, then run serverpod generate to produce Dart classes and database migrations. Use explicit foreign key mappings for relational tables.
- Core Architecture & Models Guide - YAML model definitions, project structure, and relationship mapping.
Phase 2: Implementation
2.1 Develop Endpoints
Implement business logic inside endpoint classes. Use session parameters for authentication context, built-in caching, and native JSON serialization.
- Endpoints & Database Guide - Typed ORM queries, transactions, and API endpoint patterns.
2.2 Authentication & Caching
Use the serverpod_auth module for token-based authentication. Configure Redis for caching to reduce repeated database queries.
- Authentication & Caching Guide -
serverpod_authsetup, endpoint protection, and Redis caching.
2.3 Database-less Backends (Serverpod Mini)
Use Serverpod Mini when you only need proxy/BFF endpoints without a PostgreSQL database.
- Serverpod Mini Guide - Lightweight API routing without database dependencies.
Phase 3: Deployment
3.1 Docker & Production
Use docker-compose to orchestrate local and production environments. Configure environment variables for credentials and connection strings.
- Deployment & Docker Guide - Production Dockerfiles, AWS/GCP deployment, environment configuration.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 71 lines · 76 tokens per session scan A 9bb841e83f12
developing-serverpod-backend is a skill published in the GitHub repository Poorgramer-Zack/dart-expert-skills (7 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 760 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
laravel-infrastructure
Laravel Horizon queues, Octane performance, Reverb WebSockets, Redis caching, PostgreSQL database. ALWAYS activate when: working with queue jobs, cache, sessions, broadcasting, database performance, supervisor, worker. Triggers on: job failed, queue stuck, cache not clearing, Redis connection, broadcast event…
firebase-data-connect
Use when setting up Data Connect, writing GraphQL queries/mutations, configuring generated SDKs, handling offline, or applying security rules.
nuxthub
Use when building NuxtHub v0.10.6 applications - provides database (Drizzle ORM with sqlite/postgresql/mysql), KV storage, blob storage, and cache APIs. Covers configuration, schema definition, migrations, multi-cloud deployment (Cloudflare, Vercel), and the new hub:db, hub:kv, hub:blob virtual module imports.
vercel-storage
Vercel storage expert guidance — Blob, Global Config (formerly Edge Config), and Marketplace storage (Neon Postgres, Upstash Redis). Use when choosing, configuring, or using data storage with Vercel applications.
fl-data-layer
Builds the data layer with Freezed DTOs, Retrofit clients, the storage-seam local data manager, and repositories wired through injectable.
butterbase
AI-native, open-source backend-as-a-service with a built-in Model Context Protocol server. Postgres, auth, storage, functions, AI gateway.